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Game-theoretic solutions through intelligent optimization for efficient resource management in wireless visual sensor networks.

, , , and . Signal Process. Image Commun., 29 (4): 472-493 (2014)

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Effective Resource Management in Visual Sensor Networks With MPSK., , , and . IEEE Signal Process. Lett., 20 (8): 739-742 (2013)Game-theoretic solutions through intelligent optimization for efficient resource management in wireless visual sensor networks., , , and . Signal Process. Image Commun., 29 (4): 472-493 (2014)Single-Sample Direction-of-Arrival Estimation by Hankel-matrix Decompositions., , , , , and . IEEECONF, page 1026-1030. IEEE, (2022)Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks., , , and . INFOCOM, page 2431-2439. IEEE, (2019)Heavy-ball: A new approach to tame delay and convergence in wireless network optimization., , , and . INFOCOM, page 1-9. IEEE, (2016)Diamond-Shaped Mesh Network Routing with Cross-Layer Design to Explore the Benefits of Multi-Beam Smart Antennas., , , and . ICCCN, page 1-5. IEEE, (2016)A Coalition Formation Approach to Coordinated Task Allocation in Heterogeneous UAV Networks., , , , and . CoRR, (2017)Understanding the impact of limited channel state information on massive MIMO network performances., , , and . MobiHoc, page 251-260. ACM, (2016)Bidirectional AOMDV Routing Protocol for Full-Duplex Ad-Hoc Networks., , , and . ICC Workshops, page 1-6. IEEE, (2018)Distributed and dynamic spectrum management in airborne networks., , , , , and . MILCOM, page 786-791. IEEE, (2015)